One-click install
npx skills add https://github.com/xqinag/ARIS-new --skill idea-discovery-xqinag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-discovery
Source: https://github.com/xqinag/ARIS-new/tree/main/skills/idea-discovery
Command: npx skills add https://github.com/xqinag/ARIS-new --skill idea-discovery-xqinag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end process of turning broad research directions into validated, pilot-ready ideas by orchestrating a multi-phase workflow that connects literature review, idea generation, novelty verification, critical review, and method refinement into a single pipeline.

Core Features & Use Cases

  • Orchestrates sequential phases: /research-lit → /idea-creator → /novelty-check → /research-review → /research-refine-pipeline to produce a ranked set of ideas and a refined plan.
  • Generates canonical outputs in idea-stage/IDEA_REPORT.md and refine-logs/FINAL_PROPOSAL.md and EXPERIMENT_PLAN.md.
  • Supports defaults, feasibility checks, and auto-proceed behavior; integrates with sub-skills and HTML rendering.
  • Applicable to researchers and product teams exploring new directions and planning experiments.

Quick Start

Provide a research direction and optional constraints to start the full idea-discovery workflow.

Frequently Asked Questions about idea-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the end-to-end idea discovery workflow from literature review to experiment planning?

To automate idea discovery, you provide a research direction and optional constraints to trigger a sequential workflow that maps literature surveys, idea generation, novelty checks, and method refinement into a validated pilot-ready proposal.

What is the best way to validate research novelty and prepare an experimental plan?

Validating research novelty involves orchestrating critical reviews and method refinement phases, which automatically generate canonical outputs like FINAL_PROPOSAL.md and EXPERIMENT_PLAN.md to prepare your experimental plan.

Can I use this workflow orchestration for assessing new research directions before proposal development?

Yes, you can use this workflow orchestration for assessing new research directions by running feasibility checks, applying default constraints, and generating an IDEA_REPORT.md to evaluate novelty before proposal development.

Do I need to provide input constraints to start the research management workflow?

No, you do not need to provide input constraints to start the research management workflow; you can simply provide a research direction and the pipeline will apply defaults and auto-proceed behavior to execute the phases.

What outputs should I expect from the experiment planning and idea generation pipeline?

You should expect canonical outputs from the experiment planning pipeline, specifically idea-stage/IDEA_REPORT.md, refine-logs/FINAL_PROPOSAL.md, and refine-logs/EXPERIMENT_PLAN.md, containing your ranked ideas and refined plans.

Does the idea discovery pipeline support integration with sub-skills for literature surveys?

Yes, the idea discovery pipeline supports integration with sub-skills for literature surveys by sequentially coordinating phases like research-lit and idea-creator, and it also integrates with HTML rendering for outputs.